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    <rowcolor>eee8aa</rowcolor>
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    <yr2001>8</yr2001>
    <yr2002>4</yr2002>
    <yr2003>4</yr2003>
    <yr2004>3</yr2004>
    <yr2005>6</yr2005>
    <yr2006>5</yr2006>
    <yr2007>1</yr2007>
    <yr2008>3</yr2008>
    <yr2009>3</yr2009>
    <yr2010>7</yr2010>
    <yr2011>2</yr2011>
    <yr2012>6</yr2012>
    <yr2013>3</yr2013>
    <yr2014>11</yr2014>
    <regiontotal>66</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>3</yr2001>
    <yr2002>11</yr2002>
    <yr2003>10</yr2003>
    <yr2004>18</yr2004>
    <yr2005>8</yr2005>
    <yr2006>7</yr2006>
    <yr2007>2</yr2007>
    <yr2008>3</yr2008>
    <yr2009>5</yr2009>
    <yr2010>12</yr2010>
    <yr2011>10</yr2011>
    <yr2012>2</yr2012>
    <yr2013>1</yr2013>
    <yr2014>22</yr2014>
    <regiontotal>114</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>12</yr2001>
    <yr2002>10</yr2002>
    <yr2003>5</yr2003>
    <yr2004>4</yr2004>
    <yr2005>7</yr2005>
    <yr2006>4</yr2006>
    <yr2007>4</yr2007>
    <yr2008>4</yr2008>
    <yr2009>1</yr2009>
    <yr2010>3</yr2010>
    <yr2011>4</yr2011>
    <yr2012>4</yr2012>
    <yr2013>1</yr2013>
    <yr2014>33</yr2014>
    <regiontotal>96</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>17</yr2001>
    <yr2002>17</yr2002>
    <yr2003>31</yr2003>
    <yr2004>22</yr2004>
    <yr2005>31</yr2005>
    <yr2006>20</yr2006>
    <yr2007>17</yr2007>
    <yr2008>12</yr2008>
    <yr2009>12</yr2009>
    <yr2010>14</yr2010>
    <yr2011>11</yr2011>
    <yr2012>7</yr2012>
    <yr2013>5</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>216</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>5</yr2001>
    <yr2002>8</yr2002>
    <yr2003>1</yr2003>
    <yr2004>3</yr2004>
    <yr2005>8</yr2005>
    <yr2006>6</yr2006>
    <yr2007>7</yr2007>
    <yr2008>5</yr2008>
    <yr2009>3</yr2009>
    <yr2010>2</yr2010>
    <yr2011>3</yr2011>
    <yr2012>1</yr2012>
    <yr2013>1</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>53</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>7</yr2001>
    <yr2002>12</yr2002>
    <yr2003>7</yr2003>
    <yr2004>4</yr2004>
    <yr2005>21</yr2005>
    <yr2006>1</yr2006>
    <yr2007>13</yr2007>
    <yr2008>11</yr2008>
    <yr2009>4</yr2009>
    <yr2010>7</yr2010>
    <yr2011>2</yr2011>
    <yr2012>5</yr2012>
    <yr2013>3</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>97</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>16</yr2001>
    <yr2002>22</yr2002>
    <yr2003>15</yr2003>
    <yr2004>5</yr2004>
    <yr2005>13</yr2005>
    <yr2006>8</yr2006>
    <yr2007>9</yr2007>
    <yr2008>11</yr2008>
    <yr2009>19</yr2009>
    <yr2010>3</yr2010>
    <yr2011>0</yr2011>
    <yr2012>8</yr2012>
    <yr2013>5</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>134</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>28</yr2001>
    <yr2002>42</yr2002>
    <yr2003>23</yr2003>
    <yr2004>12</yr2004>
    <yr2005>42</yr2005>
    <yr2006>15</yr2006>
    <yr2007>29</yr2007>
    <yr2008>27</yr2008>
    <yr2009>26</yr2009>
    <yr2010>12</yr2010>
    <yr2011>5</yr2011>
    <yr2012>14</yr2012>
    <yr2013>9</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>284</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>0</yr2001>
    <yr2002>0</yr2002>
    <yr2003>2</yr2003>
    <yr2004>1</yr2004>
    <yr2005>0</yr2005>
    <yr2006>0</yr2006>
    <yr2007>0</yr2007>
    <yr2008>0</yr2008>
    <yr2009>3</yr2009>
    <yr2010>1</yr2010>
    <yr2011>0</yr2011>
    <yr2012>0</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>7</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>1</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>2</yr2004>
    <yr2005>0</yr2005>
    <yr2006>6</yr2006>
    <yr2007>0</yr2007>
    <yr2008>0</yr2008>
    <yr2009>0</yr2009>
    <yr2010>1</yr2010>
    <yr2011>1</yr2011>
    <yr2012>1</yr2012>
    <yr2013>1</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>14</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>1</yr2001>
    <yr2002>1</yr2002>
    <yr2003>2</yr2003>
    <yr2004>3</yr2004>
    <yr2005>0</yr2005>
    <yr2006>6</yr2006>
    <yr2007>0</yr2007>
    <yr2008>0</yr2008>
    <yr2009>3</yr2009>
    <yr2010>2</yr2010>
    <yr2011>1</yr2011>
    <yr2012>1</yr2012>
    <yr2013>1</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>21</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>5</yr2001>
    <yr2002>6</yr2002>
    <yr2003>7</yr2003>
    <yr2004>1</yr2004>
    <yr2005>4</yr2005>
    <yr2006>4</yr2006>
    <yr2007>3</yr2007>
    <yr2008>6</yr2008>
    <yr2009>4</yr2009>
    <yr2010>0</yr2010>
    <yr2011>4</yr2011>
    <yr2012>0</yr2012>
    <yr2013>5</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>49</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>5</yr2001>
    <yr2002>5</yr2002>
    <yr2003>11</yr2003>
    <yr2004>8</yr2004>
    <yr2005>6</yr2005>
    <yr2006>1</yr2006>
    <yr2007>2</yr2007>
    <yr2008>3</yr2008>
    <yr2009>2</yr2009>
    <yr2010>1</yr2010>
    <yr2011>0</yr2011>
    <yr2012>1</yr2012>
    <yr2013>2</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>47</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>10</yr2001>
    <yr2002>4</yr2002>
    <yr2003>3</yr2003>
    <yr2004>3</yr2004>
    <yr2005>3</yr2005>
    <yr2006>11</yr2006>
    <yr2007>1</yr2007>
    <yr2008>1</yr2008>
    <yr2009>2</yr2009>
    <yr2010>2</yr2010>
    <yr2011>2</yr2011>
    <yr2012>1</yr2012>
    <yr2013>2</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>45</regiontotal>
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  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>89</yr2001>
    <yr2002>100</yr2002>
    <yr2003>96</yr2003>
    <yr2004>74</yr2004>
    <yr2005>107</yr2005>
    <yr2006>73</yr2006>
    <yr2007>59</yr2007>
    <yr2008>59</yr2008>
    <yr2009>58</yr2009>
    <yr2010>53</yr2010>
    <yr2011>39</yr2011>
    <yr2012>36</yr2012>
    <yr2013>29</yr2013>
    <yr2014>66</yr2014>
    <regiontotal>938</regiontotal>
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</dataset>
